//
// svm_model
//
package com.deeplearing.StatisticalLearning.DataMining_SVM.libsvm;

public class svm_model implements java.io.Serializable {

    // svm֧���������Ĳ���
    svm_parameter param; // parameter
    // �����������
    int nr_class; // number of classes, = 2 in regression/one class svm
    int l; // total #SV
    svm_node[][] SV; // SVs (SV[l])
    double[][] sv_coef; // coefficients for SVs in decision functions (sv_coef[k-1][l])
    double[] rho; // constants in decision functions (rho[k*(k-1)/2])
    double[] probA; // pariwise probability information
    double[] probB;

    // for classification only

    // ÿ�����͵�����ֵ
    int[] label; // label of each class (label[k])
    int[] nSV; // number of SVs for each class (nSV[k])
    // nSV[0] + nSV[1] + ... + nSV[k-1] = l
};
